This guide explains how to set up the PHP‑Bilibili‑Danmu framework built on Webman, configure Protocol Buffers, run database migrations, connect to Bilibili live rooms, handle danmu and interaction events, and verify the installation using a management dashboard.
The article demonstrates how to create a lightweight, infinite‑scrolling danmu (bullet‑screen) effect in Android by embedding a RecyclerView inside a custom DanMuView, using StaggeredGridLayoutManager for multi‑row layout and a scrollBy‑based Runnable to continuously scroll and control speed.
Using Python and pandas, this article collects and analyzes 97,331 danmu comments from the first episode of Mango TV’s “Brother” show, presenting data previews, word clouds, top‑liked remarks, super‑active users, and favorite performers, while also sharing the data‑scraping script.
The article presents a comprehensive AI solution for video danmu (bullet‑screen) occlusion prevention that leverages human portrait semantic segmentation, describes dataset construction with full‑ and semi‑supervised labeling, details the encoder‑decoder model with context attention, outlines post‑processing for spatial and temporal stability, and explains deployment on cloud and edge using YKit, KwaiNN and TensorRT.
This article demonstrates how to use Python to crawl over 200,000 Bilibili comments, analyze popular memes across different content categories, and presents a step‑by‑step guide to extracting danmu via network requests with code examples for practical data mining.
The article demonstrates how to scrape over 200,000 iQiyi danmu comments for the drama “The Bad Kids” using Python, then analyzes user activity, episode popularity, top comments, actor mentions, and visualizes the results with word clouds and charts.
Facing massive memory usage and latency in a PHP‑based live‑stream bullet chat, we iteratively re‑engineered the system—splitting Redis, limiting broadcasts, sharding rooms, then rebuilding it in Go with distributed room management, concurrent broadcasting, and extensive testing, achieving stable operation for tens of thousands of concurrent connections.
